---
tags:
- generated_from_trainer
datasets:
- hotpot_qa
metrics:
- rouge
model-index:
- name: t5-qg-finetuned-hotpotqa
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: hotpot_qa
      type: hotpot_qa
      config: distractor
      split: train
      args: distractor
    metrics:
    - name: Rouge1
      type: rouge
      value: 44.4906
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-qg-finetuned-hotpotqa

This model is a fine-tuned version of [p208p2002/t5-squad-qg-hl](https://huggingface.co/p208p2002/t5-squad-qg-hl) on the hotpot_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2046
- Rouge1: 44.4906
- Rouge2: 26.3193
- Rougel: 39.9929
- Rougelsum: 39.9879

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.379         | 1.0   | 1875 | 1.2998          | 43.0766 | 24.8898 | 38.4029 | 38.4874   |
| 1.2011        | 2.0   | 3750 | 1.2225          | 44.7538 | 26.1406 | 39.9817 | 39.9714   |
| 1.1027        | 3.0   | 5625 | 1.2046          | 44.4906 | 26.3193 | 39.9929 | 39.9879   |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2